🚀 Greenhouse Jobs Scraper

🕒 Last updated: 2026-05-05

Whether you're a recruiter tracking competitors, a job seeker monitoring openings, or a data analyst studying hiring trends, this actor makes it easy to collect structured job data from any company using Greenhouse.

The Greenhouse Jobs Scraper collects complete job listings from 10,000+ companies, with 18 data fields per job, plus filtering by keyword, department, and office.

🌌 What Does It Do

• 🚀 Complete job data - titles, descriptions, locations, departments, offices, and more from any Greenhouse-powered careers page
• 🛰️ Smart filtering - narrow results by keyword, department, or office without wasting compute
• 🌌 Department & office hierarchy - get full organizational structure with parent IDs for mapping
• 👨‍🚀 Custom metadata - company-specific fields like workplace type, quota coverage, and more
• 🛸 GDPR compliance info - data compliance details for each listing

🎬 Demo Video

Coming soon

🔧 Input

boardToken (required) - The company's Greenhouse identifier. Find it in their careers URL: boards.greenhouse.io/TOKEN. Common tokens: gitlab, discord, airbnb, figma, notion, stripe.

maxItems - Cap the number of jobs returned. Leave at 0 to get all available listings.

includeContent - Toggle full job description text. Turn off for faster metadata-only collection.

searchQuery - Filter by keyword matching against job title and location. Try engineer, remote, marketing.

departmentFilter - Show only jobs in a specific department. Partial match, so engineering catches "Software Engineering" too.

officeFilter - Filter by office or geographic region. Works with US, EMEA, Remote, city names, etc.

{
  "boardToken": "gitlab",
  "maxItems": 50,
  "includeContent": true,
  "searchQuery": "engineer",
  "departmentFilter": "",
  "officeFilter": "Remote"
}

📊 Output

Field	Description
url	Direct link to the job posting
applyUrl	Direct link to the application form
jobId	Greenhouse public job ID
internalJobId	Internal Greenhouse job ID
title	Job title
company	Company name
boardToken	Board token used
location	Job location
locations	Parsed location list
isRemote	Whether the role is remote
isHybrid	Whether the role is hybrid
employmentType	Employment type from metadata
departments	Department names
departmentDetails	Full department info (id, name, parentId)
offices	Office names
officeDetails	Full office info (id, name, location, parentId)
metadata	Company-specific custom fields
salary	Parsed salary range if found
requisitionId	Requisition/job req number
language	Job listing language
description	Full job description
dataCompliance	GDPR/compliance details
firstPublished	First publication date
updatedAt	Last update date
scrapedAt	Timestamp when data was collected

{
  "url": "https://job-boards.greenhouse.io/gitlab/jobs/8481922002",
  "applyUrl": "https://job-boards.greenhouse.io/gitlab/jobs/8481922002#app",
  "jobId": 8481922002,
  "internalJobId": 6387960002,
  "title": "Backend Engineer, Analytics Instrumentation (Golang)",
  "company": "GitLab",
  "boardToken": "gitlab",
  "location": "Remote, India",
  "locations": ["Remote", "India"],
  "isRemote": true,
  "isHybrid": false,
  "employmentType": null,
  "departments": ["Data Engineering"],
  "departmentDetails": [{"id": 4115239002, "name": "Data Engineering", "parentId": 4011044002}],
  "offices": ["India"],
  "officeDetails": [{"id": 4112140002, "name": "India", "location": null, "parentId": 4019590002}],
  "metadata": {"Quota Coverage Type": "n/a"},
  "salary": null,
  "requisitionId": "6173",
  "language": "en",
  "description": "GitLab is the intelligent orchestration platform for DevSecOps...",
  "dataCompliance": [{"type": "gdpr", "requiresConsent": false, "requiresProcessingConsent": false, "requiresRetentionConsent": false, "retentionPeriod": null}],
  "firstPublished": "2026-03-27T17:37:17-04:00",
  "updatedAt": "2026-03-27T17:37:17-04:00",
  "scrapedAt": "2026-03-31T21:01:00.887Z"
}

🛸 Why Choose the Greenhouse Jobs Scraper?

Feature	Our Actor	Manual Collection
Setup time	30 seconds	Hours
Fields collected	18 per job	Varies
Filtering	Keyword + department + office	None
Output format	Structured JSON	Unstructured data
Works across companies	✅ Any Greenhouse board	One at a time

👨‍🚀 How to Use

1. Sign Up - Create a free account with $5 credit on Apify
2. Configure - Enter the company's boardToken and optional filters
3. Run It - Hit Start and get structured job data in seconds

That's it. No coding, no setup, no maintenance.

🛰️ Business Use Cases

• 🚀 Recruiters - Monitor competitor job openings to understand their hiring strategy and team growth
• 🌌 HR Analytics Teams - Track hiring trends across industries, departments, and regions over time
• 👨‍🚀 Job Seekers - Set up alerts for specific roles at target companies by running periodic collections
• 🛸 Market Researchers - Analyze which skills and roles are in demand across thousands of companies
• 🛰️ Investors - Track headcount growth at portfolio companies through job posting volume

🔌 Integrate with any app

Greenhouse Jobs Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

🚀 How many companies use Greenhouse? Over 10,000 companies use Greenhouse for hiring, including GitLab, Discord, Airbnb, Figma, Notion, and Stripe.

🛰️ How do I find a company's board token? Go to their careers page and look for a URL containing greenhouse.io. The token is the path after /boards/ or after greenhouse.io/. You can also try the company name in lowercase.

🌌 How much does it cost to run? Minimal. Collecting all jobs from a large company (200+ jobs) costs less than $0.01 in platform compute.

👨‍🚀 Does it work with non-English job boards? Yes. The language field indicates the listing language, and the actor handles any language Greenhouse supports.

🛸 What's in the metadata field? Company-specific custom fields. For example, GitLab includes "Quota Coverage Type", Airbnb includes "Workplace Type". Every company configures these differently.

🔗 Integrate Greenhouse Jobs Scraper with any app

• Apify API - access results programmatically
• Webhooks - trigger actions when a run finishes
• Google Sheets - export job listings directly to spreadsheets
• Zapier - connect to 5,000+ apps
• Make - build automated workflows

🚀 More ParseForge Actors

• Glassdoor Scraper - Collect company reviews, salaries, and interview data
• Indeed Scraper - Collect job listings from Indeed
• LinkedIn Jobs Scraper - Collect job postings from LinkedIn

Browse our complete collection at ParseForge on Apify Store.

🛸 Ready to Start?

Create a free account with $5 credit and start collecting Greenhouse job data in seconds.

🆘 Need Help?

• 📖 Check the FAQ section above
• 📚 Apify Documentation
• 💬 Contact us

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or connected to Greenhouse Software, Inc. It accesses publicly available job board data.

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Greenhouse Jobs Scraper (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Greenhouse Jobs Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.